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     new a818ca0af26 [blog] 20260717-update-details (#3996)
a818ca0af26 is described below

commit a818ca0af26d13587733675735e3bbb32fb3dd15
Author: Qin Chen <[email protected]>
AuthorDate: Fri Jul 17 18:19:05 2026 +0800

    [blog] 20260717-update-details (#3996)
---
 ...chmark-apache-doris-vs-clickhouse-and-duckdb.md |   2 +-
 ...lickhouse-elasticsearch-to-apache-doris-kwai.md |   2 +-
 ...he-doris-tuhu-cars-unified-olap-architecture.md |  16 ++++++++++++
 ...ent-observability-platform-with-apache-doris.md |  16 ++++++++++++
 ...ilt-production-vector-search-in-apache-doris.md |   2 +-
 ...variant-and-inverted-indexes-in-apache-doris.md |   2 --
 blog/mexican-mining-giant-azure-to-apache-doris.md |   2 +-
 blog/netease-games-unified-doris-lakehouse.md      |   2 +-
 blog/olake-iceberg-and-doris.md                    |   2 +-
 ...s-need-real-time-analytics-and-hybrid-search.md |   2 --
 blog/xiaomi-unified-usecase.md                     |   2 +-
 src/components/recent-blogs/recent-blogs.data.ts   |  16 ++++++------
 src/constant/newsletter.data.ts                    |  28 ++++++++++-----------
 static/images/blogs/202607_StepFun_horizontal.jpeg | Bin 0 -> 122221 bytes
 static/images/blogs/202607_Tuhu_horizontal.jpeg    | Bin 0 -> 111855 bytes
 15 files changed, 61 insertions(+), 33 deletions(-)

diff --git a/blog/asof-join-benchmark-apache-doris-vs-clickhouse-and-duckdb.md 
b/blog/asof-join-benchmark-apache-doris-vs-clickhouse-and-duckdb.md
index 37192e467cb..5beb0f89f2f 100644
--- a/blog/asof-join-benchmark-apache-doris-vs-clickhouse-and-duckdb.md
+++ b/blog/asof-join-benchmark-apache-doris-vs-clickhouse-and-duckdb.md
@@ -3,7 +3,7 @@
     'summary': 'Apache Doris 4.1 outperforms ClickHouse and DuckDB on ASOF 
JOIN across all 11 benchmark scenarios.'
     'description': 'Apache Doris 4.1 outperforms ClickHouse and DuckDB on ASOF 
JOIN across all 11 benchmark scenarios.'
     'picked': "true"
-    'order': "1"
+    'order': "3"
     'date': '2026-6-11'
     'author': 'velodb.io · Changle Zhao'
     'externalLink': 
'https://www.velodb.io/blog/asof-join-benchmark-apache-doris-vs-clickhouse-and-duckdb'
diff --git a/blog/from-clickhouse-elasticsearch-to-apache-doris-kwai.md 
b/blog/from-clickhouse-elasticsearch-to-apache-doris-kwai.md
index 0f542bcd450..0f59ca2e7a8 100644
--- a/blog/from-clickhouse-elasticsearch-to-apache-doris-kwai.md
+++ b/blog/from-clickhouse-elasticsearch-to-apache-doris-kwai.md
@@ -3,7 +3,7 @@
     'summary': 'Kwai, a short-video platform with over 400 million daily 
active users, migrated its advertising analytics from ClickHouse and 
Elasticsearch to Apache Doris, achieving up to 90% latency reduction and 3x 
write throughput.'
     'description': 'Kwai, a short-video platform with over 400 million daily 
active users, migrated its advertising analytics from ClickHouse and 
Elasticsearch to Apache Doris, achieving up to 90% latency reduction and 3x 
write throughput.'
     'date': '2026-3-20'
-    'author': 'velodb.io · Simin Zhou'
+    'author': 'Kwai · Simin Zhou'
     'externalLink': 
'https://www.velodb.io/blog/from-clickhouse-elasticsearch-to-apache-doris-how-kwai-unified-trillion-scale-ad-analytics'
     'tags': ['Best Practice']
     "image": '/images/blogs/202603_Kwai_horizontal.png' 
diff --git 
a/blog/from-hive-hbase-and-trino-to-apache-doris-tuhu-cars-unified-olap-architecture.md
 
b/blog/from-hive-hbase-and-trino-to-apache-doris-tuhu-cars-unified-olap-architecture.md
new file mode 100644
index 00000000000..57a79a96b71
--- /dev/null
+++ 
b/blog/from-hive-hbase-and-trino-to-apache-doris-tuhu-cars-unified-olap-architecture.md
@@ -0,0 +1,16 @@
+---
+    'title': "From Hive, HBase, MySQL, and Trino to Apache Doris: Tuhu Car's 
Unified OLAP Architecture"
+    'summary': 'Tuhu Car rebuilt its fragmented Hive, HBase, MySQL, and Trino 
OLAP stack with Apache Doris, improving audience segmentation, user profiling, 
BI analysis, and real-time analytics.'
+    'description': 'Tuhu Car rebuilt its fragmented Hive, HBase, MySQL, and 
Trino OLAP stack with Apache Doris, improving audience segmentation, user 
profiling, BI analysis, and real-time analytics.'
+    'picked': "true"
+    'order': "2"
+    'date': '2026-7-3'
+    'author': 'Tuhu Car · Wenbo Wang'
+    'externalLink': 
'https://www.velodb.io/blog/from-hive-hbase-and-trino-to-apache-doris-tuhu-cars-unified-olap-architecture'
+    'tags': ['Best Practice']
+    "image": '/images/blogs/202607_Tuhu_horizontal.jpeg'
+---
+import { BlogLink } from '../src/components/blogs/components/blog-link';
+import { SeeMore } from '../src/components/blogs/components/see-more';
+
+> <BlogLink rel="noopener noreferrer" target='_blank' 
href='https://www.velodb.io/blog/from-hive-hbase-and-trino-to-apache-doris-tuhu-cars-unified-olap-architecture'>Tuhu
 Car rebuilt its fragmented Hive, HBase, MySQL, and Trino OLAP stack with 
Apache Doris, improving audience segmentation, user profiling, BI analysis, and 
real-time analytics. <SeeMore /></BlogLink>
diff --git 
a/blog/how-stepfun-built-agent-observability-platform-with-apache-doris.md 
b/blog/how-stepfun-built-agent-observability-platform-with-apache-doris.md
new file mode 100644
index 00000000000..01e06ba7f82
--- /dev/null
+++ b/blog/how-stepfun-built-agent-observability-platform-with-apache-doris.md
@@ -0,0 +1,16 @@
+---
+    'title': 'How StepFun Built a PB-Scale Agent Observability Platform with 
Apache Doris'
+    'summary': 'StepFun built StepTrace, a PB-scale agent observability 
platform on Apache Doris, to analyze agent traces, costs, search, evaluation 
loops, and infrastructure behavior in real time.'
+    'description': 'StepFun built StepTrace, a PB-scale agent observability 
platform on Apache Doris, to analyze agent traces, costs, search, evaluation 
loops, and infrastructure behavior in real time.'
+    'picked': "true"
+    'order': "1"
+    'date': '2026-7-8'
+    'author': 'StepFun · Ric Li'
+    'externalLink': 
'https://www.velodb.io/blog/how-stepfun-built-agent-observability-platform-with-apache-doris'
+    'tags': ['Best Practice']
+    "image": '/images/blogs/202607_StepFun_horizontal.jpeg'
+---
+import { BlogLink } from '../src/components/blogs/components/blog-link';
+import { SeeMore } from '../src/components/blogs/components/see-more';
+
+> <BlogLink rel="noopener noreferrer" target='_blank' 
href='https://www.velodb.io/blog/how-stepfun-built-agent-observability-platform-with-apache-doris'>StepFun
 built StepTrace, a PB-scale agent observability platform on Apache Doris, to 
analyze agent traces, costs, search, evaluation loops, and infrastructure 
behavior in real time. <SeeMore /></BlogLink>
diff --git a/blog/how-we-built-production-vector-search-in-apache-doris.md 
b/blog/how-we-built-production-vector-search-in-apache-doris.md
index fc2b9000897..83d4d846b25 100644
--- a/blog/how-we-built-production-vector-search-in-apache-doris.md
+++ b/blog/how-we-built-production-vector-search-in-apache-doris.md
@@ -3,7 +3,7 @@
     'summary': 'Apache Doris 4.1 adds more native ANN vector indexes, IVF and 
IVF_ON_DISK, directly inside its OLAP engine, reaching 900 QPS at 97% recall on 
VectorDBBench.'
     'description': 'Apache Doris 4.1 adds more native ANN vector indexes, IVF 
and IVF_ON_DISK, directly inside its OLAP engine, reaching 900 QPS at 97% 
recall on VectorDBBench.'
     'picked': "true"
-    'order': "3"
+    'order': "4"
     'date': '2026-5-28'
     'author': 'velodb.io · Rayner Chen'
     'externalLink': 
'https://www.velodb.io/blog/how-we-built-production-vector-search-in-apache-doris'
diff --git 
a/blog/json-in-agent-observability-variant-and-inverted-indexes-in-apache-doris.md
 
b/blog/json-in-agent-observability-variant-and-inverted-indexes-in-apache-doris.md
index 668f9e2babf..1b1909d4cee 100644
--- 
a/blog/json-in-agent-observability-variant-and-inverted-indexes-in-apache-doris.md
+++ 
b/blog/json-in-agent-observability-variant-and-inverted-indexes-in-apache-doris.md
@@ -2,8 +2,6 @@
     'title': 'Hybrid Modeling for JSON in Agent Observability: VARIANT and 
Inverted Indexes in Apache Doris'
     'summary': 'VARIANT data type and native inverted indexes in Apache Doris 
offer a hybrid modeling approach that handles dynamic, schema-evolving agent 
observability logs with high performance.'
     'description': 'VARIANT data type and native inverted indexes in Apache 
Doris offer a hybrid modeling approach that handles dynamic, schema-evolving 
agent observability logs with high performance.'
-    'picked': "true"
-    'order': "4"
     'date': '2026-6-3'
     'author': 'velodb.io · Max Li'
     'externalLink': 
'https://www.velodb.io/blog/json-in-agent-observability-variant-and-inverted-indexes-in-apache-doris'
diff --git a/blog/mexican-mining-giant-azure-to-apache-doris.md 
b/blog/mexican-mining-giant-azure-to-apache-doris.md
index a696111a2dd..ae40c535c0d 100644
--- a/blog/mexican-mining-giant-azure-to-apache-doris.md
+++ b/blog/mexican-mining-giant-azure-to-apache-doris.md
@@ -3,7 +3,7 @@
     'summary': 'One of largest mining companies in Mexico migrated from Azure 
Synapse to Apache Doris to solve unpredictable cloud costs and slow query 
performance across its 20,000-employee operation.'
     'description': 'One of largest mining companies in Mexico migrated from 
Azure Synapse to Apache Doris to solve unpredictable cloud costs and slow query 
performance across its 20,000-employee operation.'
     'date': '2026-3-30'
-    'author': 'velodb.io · Victor Romero'
+    'author': 'Fintecheando · Victor Romero'
     'externalLink': 
'https://www.velodb.io/blog/mexican-mining-giant-migrated-from-azure-synapse-to-apache-doris'
     'tags': ['Best Practice']
     "image": '/images/blogs/202603_Azure_mining_horizontal.png'
diff --git a/blog/netease-games-unified-doris-lakehouse.md 
b/blog/netease-games-unified-doris-lakehouse.md
index 024eab31a05..07a33c2ddb5 100644
--- a/blog/netease-games-unified-doris-lakehouse.md
+++ b/blog/netease-games-unified-doris-lakehouse.md
@@ -3,7 +3,7 @@
     'summary': 'NetEase Games consolidated six specialized data systems into 
Apache Doris across two phases, first unifying real-time analytics, then adding 
batch processing capabilities to create a lakehouse architecture serving 15 
million daily queries.'
     'description': 'NetEase Games consolidated six specialized data systems 
into Apache Doris across two phases, first unifying real-time analytics, then 
adding batch processing capabilities to create a lakehouse architecture serving 
15 million daily queries.'
     'date': '2026-5-22'
-    'author': 'velodb.io · Biao Hu'
+    'author': 'NetEase Games · Biao Hu'
     'externalLink': 
'https://www.velodb.io/blog/netease-games-from-elasticsearch-and-clickhouse-to-a-unified-apache-doris-lakehouse'
     'tags': ['Best Practice']
     "image": '/images/blogs/202605_netease_games_horizontal.jpg'
diff --git a/blog/olake-iceberg-and-doris.md b/blog/olake-iceberg-and-doris.md
index d8a503e072a..77e0eed1eb6 100644
--- a/blog/olake-iceberg-and-doris.md
+++ b/blog/olake-iceberg-and-doris.md
@@ -3,7 +3,7 @@
     'summary': 'A step-by-step guide to building a lakehouse with PostgreSQL, 
Apache Iceberg, and Apache Doris in 15 minutes, covering CDC setup, data 
ingestion, and analytical queries on a fully open-source stack.'
     'description': 'A step-by-step guide to building a lakehouse with 
PostgreSQL, Apache Iceberg, and Apache Doris in 15 minutes, covering CDC setup, 
data ingestion, and analytical queries on a fully open-source stack.'
     'date': '2026-4-23'
-    'author': 'velodb.io · Rohan Khameshra'
+    'author': 'Olake · Rohan Khameshra'
     'externalLink': 
'https://www.velodb.io/blog/set-up-a-lakehouse-with-postgresql-apache-iceberg-and-apache-doris'
     'tags': ['Tech Sharing']
     "image": '/images/blogs/202603_Olake_horizontal.png'
diff --git a/blog/why-ai-agents-need-real-time-analytics-and-hybrid-search.md 
b/blog/why-ai-agents-need-real-time-analytics-and-hybrid-search.md
index 4542820a278..c673f6a5256 100644
--- a/blog/why-ai-agents-need-real-time-analytics-and-hybrid-search.md
+++ b/blog/why-ai-agents-need-real-time-analytics-and-hybrid-search.md
@@ -2,8 +2,6 @@
     'title': 'Why AI Agents Need Real-Time Analytics and Hybrid Search: The 
Data Infra for Production Agents'
     'summary': 'AI agents need real-time analytics, not just vector search. 
Apache Doris unifies both capabilities, offering native hybrid search in one 
real-time engine built for agent workloads.'
     'description': 'AI agents need real-time analytics, not just vector 
search. Apache Doris unifies both capabilities, offering native hybrid search 
in one real-time engine built for agent workloads.'
-    'picked': "true"
-    'order': "2"
     'date': '2026-6-24'
     'author': 'velodb.io · Matt Yi'
     'externalLink': 
'https://www.velodb.io/blog/why-ai-agents-need-real-time-analytics-and-hybrid-search'
diff --git a/blog/xiaomi-unified-usecase.md b/blog/xiaomi-unified-usecase.md
index 60dac4c78a6..aca68be07b1 100644
--- a/blog/xiaomi-unified-usecase.md
+++ b/blog/xiaomi-unified-usecase.md
@@ -3,7 +3,7 @@
     'summary': 'Xiaomi, the third-largest smartphone maker in the world, built 
a unified data platform on Apache Doris, running 40+ clusters that serve 50 
million queries per day across petabytes of data.'
     'description': 'Xiaomi, the third-largest smartphone maker in the world, 
built a unified data platform on Apache Doris, running 40+ clusters that serve 
50 million queries per day across petabytes of data.'
     'date': '2026-2-27'
-    'author': 'velodb.io · Congling Xia'
+    'author': 'Xiaomi · Congling Xia'
     'externalLink': 
'https://www.velodb.io/blog/how-xiaomi-built-a-unified-data-platform-with-apache-doris'
     'tags': ['Best Practice']
     "image": '/images/blogs/20260317_Xiaomi_unified_horizontal.png'  
diff --git a/src/components/recent-blogs/recent-blogs.data.ts 
b/src/components/recent-blogs/recent-blogs.data.ts
index bfafdf017f1..1a1f369ab6a 100644
--- a/src/components/recent-blogs/recent-blogs.data.ts
+++ b/src/components/recent-blogs/recent-blogs.data.ts
@@ -1,19 +1,19 @@
 export const RECENT_BLOGS_POSTS = [
     {
-        label: 'ASOF JOIN Benchmark: Apache Doris vs ClickHouse and DuckDB',
-        link: 
'https://www.velodb.io/blog/asof-join-benchmark-apache-doris-vs-clickhouse-and-duckdb',
+        label: 'How StepFun Built a PB-Scale Agent Observability Platform with 
Apache Doris',
+        link: 
'https://www.velodb.io/blog/how-stepfun-built-agent-observability-platform-with-apache-doris',
     },
     {
-        label: 'Why AI Agents Need Real-Time Analytics and Hybrid Search: The 
Data Infra for Production Agents',
-        link: 
'https://www.velodb.io/blog/why-ai-agents-need-real-time-analytics-and-hybrid-search',
+        label: "From Hive, HBase, MySQL, and Trino to Apache Doris: Tuhu Car's 
Unified OLAP Architecture",
+        link: 
'https://www.velodb.io/blog/from-hive-hbase-and-trino-to-apache-doris-tuhu-cars-unified-olap-architecture',
     },
     {
-        label: 'How We Built Production Vector Search in Apache Doris',
-        link: 
'https://www.velodb.io/blog/how-we-built-production-vector-search-in-apache-doris',
+        label: 'ASOF JOIN Benchmark: Apache Doris vs ClickHouse and DuckDB',
+        link: 
'https://www.velodb.io/blog/asof-join-benchmark-apache-doris-vs-clickhouse-and-duckdb',
     },
     {
-        label: 'Hybrid Modeling for JSON in Agent Observability: VARIANT and 
Inverted Indexes in Apache Doris',
-        link: 
'https://www.velodb.io/blog/json-in-agent-observability-variant-and-inverted-indexes-in-apache-doris',
+        label: 'How We Built Production Vector Search in Apache Doris',
+        link: 
'https://www.velodb.io/blog/how-we-built-production-vector-search-in-apache-doris',
     },
 
 ];
diff --git a/src/constant/newsletter.data.ts b/src/constant/newsletter.data.ts
index 3dafc0359c9..6f763ba366f 100644
--- a/src/constant/newsletter.data.ts
+++ b/src/constant/newsletter.data.ts
@@ -1,4 +1,18 @@
 export const NEWSLETTER_DATA = [
+    {
+        tags: ['Best Practice'],
+        title: "How StepFun Built a PB-Scale Agent Observability Platform with 
Apache Doris",
+        content: `StepFun built StepTrace, a PB-scale agent observability 
platform on Apache Doris, to analyze agent traces, costs, search, evaluation 
loops, and infrastructure behavior in real time.`,
+        to: 
'https://www.velodb.io/blog/how-stepfun-built-agent-observability-platform-with-apache-doris',
+        image: 'blogs/202607_StepFun_horizontal.jpeg',
+    },
+    {
+        tags: ['Best Practice'],
+        title: "From Hive, HBase, MySQL, and Trino to Apache Doris: Tuhu Car's 
Unified OLAP Architecture",
+        content: `Tuhu Car rebuilt its fragmented Hive, HBase, MySQL, and 
Trino OLAP stack with Apache Doris, improving audience segmentation, user 
profiling, BI analysis, and real-time analytics.`,
+        to: 
'https://www.velodb.io/blog/from-hive-hbase-and-trino-to-apache-doris-tuhu-cars-unified-olap-architecture',
+        image: 'blogs/202607_Tuhu_horizontal.jpeg',
+    },
     {
         tags: ['Tech Sharing'],
         title: "ASOF JOIN Benchmark: Apache Doris vs ClickHouse and DuckDB",
@@ -6,13 +20,6 @@ export const NEWSLETTER_DATA = [
         to: 
'https://www.velodb.io/blog/asof-join-benchmark-apache-doris-vs-clickhouse-and-duckdb',
         image: 'blogs/202606_ASOF_JOIN_Benchmark_horizontal.png',
     },
-    {
-        tags: ['Tech Sharing'],
-        title: "Why AI Agents Need Real-Time Analytics and Hybrid Search: The 
Data Infra for Production Agents",
-        content: `AI agents need real-time analytics, not just vector search. 
Apache Doris unifies both capabilities, offering native hybrid search in one 
real-time engine built for agent workloads.`,
-        to: 
'https://www.velodb.io/blog/why-ai-agents-need-real-time-analytics-and-hybrid-search',
-        image: 'blogs/202606_AI_Agent_Analytics_horizontal_2.jpeg',
-    },
     {
         tags: ['Tech Sharing'],
         title: "How We Built Production Vector Search in Apache Doris",
@@ -20,11 +27,4 @@ export const NEWSLETTER_DATA = [
         to: 
'https://www.velodb.io/blog/how-we-built-production-vector-search-in-apache-doris',
         image: 'blogs/202605_vector_search_header_horizontal.jpeg',
     },
-    {
-        tags: ['Tech Sharing'],
-        title: "Hybrid Modeling for JSON in Agent Observability: VARIANT and 
Inverted Indexes in Apache Doris",
-        content: `VARIANT data type and native inverted indexes in Apache 
Doris offer a hybrid modeling approach that handles dynamic, schema-evolving 
agent observability logs with high performance.`,
-        to: 
'https://www.velodb.io/blog/json-in-agent-observability-variant-and-inverted-indexes-in-apache-doris',
-        image: 'blogs/202605_JSON_agent_observability_horizontal.jpeg',
-    },
 ];
diff --git a/static/images/blogs/202607_StepFun_horizontal.jpeg 
b/static/images/blogs/202607_StepFun_horizontal.jpeg
new file mode 100644
index 00000000000..0aa9a9f9b1b
Binary files /dev/null and b/static/images/blogs/202607_StepFun_horizontal.jpeg 
differ
diff --git a/static/images/blogs/202607_Tuhu_horizontal.jpeg 
b/static/images/blogs/202607_Tuhu_horizontal.jpeg
new file mode 100644
index 00000000000..584af5a3440
Binary files /dev/null and b/static/images/blogs/202607_Tuhu_horizontal.jpeg 
differ


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